Xinghao Pan

According to our database, Xinghao Pan authored at least 20 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving Learned Video Compression by Exploring Spatial Redundancy.

Jiayu Yang, Chunhui Yang, Yongqi Zhai, Qi Wang, Xinghao Pan, Ronggang Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

HDPNERF: Hybrid Depth Priors for Neural Radiance Fields from Sparse Input Views.

Wangze Xu, Qi Wang, Xinghao Pan, Ronggang Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Improved Object Detection Method Utilizing YOLOv7-Tiny for Unmanned Aerial Vehicle Photographic Imagery.

Linhua Zhang, Ning Xiong, Xinghao Pan, Xiaodong Yue, Peng Wu, Caiping Guo

Algorithms, 2023

2019

Twitter Homophily: Network Based Prediction of User's Occupation.

Jiaqi Pan, Rishabh Bhardwaj, Wei Lu, Hai Leong Chieu, Xinghao Pan, Ni Yi Puay

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Parallel Machine Learning Using Concurrency Control.

Xinghao Pan

PhD thesis, 2017

Perturbed Iterate Analysis for Asynchronous Stochastic Optimization.

Horia Mania, Xinghao Pan, Dimitris S. Papailiopoulos, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan

SIAM J. Optim., 2017

Hemingway: Modeling Distributed Optimization Algorithms.

Xinghao Pan, Shivaram Venkataraman, Zizheng Tai, Joseph Gonzalez

CoRR, 2017

2016

CYCLADES: Conflict-free Asynchronous Machine Learning.

Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris S. Papailiopoulos, Ce Zhang, Michael I. Jordan, Kannan Ramchandran, Christopher Ré, Benjamin Recht

CoRR, 2016

2015

Parallel Correlation Clustering on Big Graphs.

Xinghao Pan, Dimitris S. Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Parallel Double Greedy Submodular Maximization.

Xinghao Pan, Stefanie Jegelka, Joseph E. Gonzalez, Joseph K. Bradley, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Conditions for Convergence in Regularized Machine Learning Objectives

Patrick Hop, Xinghao Pan

CoRR, 2013

Optimistic Concurrency Control for Distributed Unsupervised Learning.

Xinghao Pan, Joseph E. Gonzalez, Stefanie Jegelka, Tamara Broderick, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

MLI: An API for Distributed Machine Learning.

Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

City-scale traffic estimation from a roving sensor network.

Javed A. Aslam, Sejoon Lim, Xinghao Pan, Daniela Rus

Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, 2012

A cognitive system for adaptive decision making.

Xinghao Pan, Loo-Nin Teow, Kheng Hwee Tan, Ji Hua Brian Ang, Gee Wah Ng

Proceedings of the 15th International Conference on Information Fusion, 2012

2010

Kahuna: Problem diagnosis for Mapreduce-based cloud computing environments.

Jiaqi Tan, Xinghao Pan, Eugene Marinelli, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan

Proceedings of the IEEE/IFIP Network Operations and Management Symposium, 2010

2009

Ganesha: blackBox diagnosis of MapReduce systems.

Xinghao Pan, Jiaqi Tan, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan

SIGMETRICS Perform. Evaluation Rev., 2009

ASDF: An Automated, Online Framework for Diagnosing Performance Problems.

Keith A. Bare, Soila Kavulya, Jiaqi Tan, Xinghao Pan, Eugene Marinelli, Michael P. Kasick, Rajeev Gandhi, Priya Narasimhan

Proceedings of the Architecting Dependable Systems VII, 2009

Mochi: Visual Log-Analysis Based Tools for Debugging Hadoop.

Jiaqi Tan, Xinghao Pan, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan

Proceedings of the Workshop on Hot Topics in Cloud Computing, 2009

2008

SALSA: Analyzing Logs as StAte Machines.

Jiaqi Tan, Xinghao Pan, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan

Proceedings of the First USENIX Workshop on the Analysis of System Logs, 2008